code: def __init__(
      self,
      encoder: EncoderModule,
      kernel: AttentionKernel,
      decoder: DecoderModule,
  ) -> None:
      super(AttentionBlock, self).__init__()
      self.encoder = encoder
      self.kernel = kernel
      self.decoder = decoder
      self.window_size = max(self.encoder.window_size)
  
      self.register_buffer("shape", None, persistent=False)
      self.register_buffer("query", None, persistent=False)
      self.register_buffer("key", None, persistent=False)
      self.register_buffer("inter_score", None, persistent=False)
      self.register_buffer("extra_score", None, persistent=False)
      self.register_buffer("inter_value", None, persistent=False)
      self.register_buffer("extra_value", None, persistent=False)
  
imports: from typing import Optional, List, Tuple, Union
  import numpy
  import torch
  from torch import Tensor, BoolTensor, nn
  from torch.nn import init, functional
  from tslib.nn.transformer import PositionwiseFFN
  from .kernel import AttentionKernel
  from .disc import SimpleDiscriminator
label_desc: Use image node_id 1 to create a new AttentionBlock object from inherited base classes: nn with example: obj = AttentionBlock(encoder, kernel, decoder)